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Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our experimental partners within the RTG2861-PCL
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sustainably use forests and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE
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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly
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HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
The Jagiellonian University invites applications for 13 fully funded PhD positions within the MAP-ID (Multilevel Approaches to Understanding Chronic Inflammatory Diseases) program, co-funded by
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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personal motivation for applying (why a doctoral program, why in Luxembourg, minimum 300 words) A statement on the candidate's motivation for applying for this topic (minimum 300 words) Full CV, including
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a doctoral program, why in Luxembourg, minimum 300 words) A statement on the candidate's motivation for applying for this topic (minimum 300 words) Transcript of all modules and results from